"""simple docstring"""


import argparse
from pathlib import Path

from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase = None  ,       __lowerCAmelCase = None  ,       __lowerCAmelCase = None  ,       )				->   List[str]:




						'''simple docstring'''



						if config_name_or_path is None:
												lowerCamelCase__   ="facebook/rag-token-base" if model_type == "rag_token" else "facebook/rag-sequence-base"

						if generator_tokenizer_name_or_path is None:
												lowerCamelCase__   =generator_name_or_path

						if question_encoder_tokenizer_name_or_path is None:
												lowerCamelCase__   =question_encoder_name_or_path

						lowerCamelCase__   =RagTokenForGeneration if model_type == "rag_token" else RagSequenceForGeneration

						# Save model.
						lowerCamelCase__   =RagConfig.from_pretrained(__lowerCAmelCase							)
						lowerCamelCase__   =AutoConfig.from_pretrained(__lowerCAmelCase							)
						lowerCamelCase__   =AutoConfig.from_pretrained(__lowerCAmelCase							)

						lowerCamelCase__   =gen_config
						lowerCamelCase__   =question_encoder_config

						lowerCamelCase__   =model_class.from_pretrained_question_encoder_generator(
						    __lowerCAmelCase  ,       __lowerCAmelCase  ,       config=__lowerCAmelCase							)
						rag_model.save_pretrained(__lowerCAmelCase							)

						# Sanity check.
						model_class.from_pretrained(__lowerCAmelCase							)

						# Save tokenizers.
						lowerCamelCase__   =AutoTokenizer.from_pretrained(__lowerCAmelCase							)
						gen_tokenizer.save_pretrained(dest_dir / "generator_tokenizer/"							)
						lowerCamelCase__   =AutoTokenizer.from_pretrained(__lowerCAmelCase							)
						question_encoder_tokenizer.save_pretrained(dest_dir / "question_encoder_tokenizer/"							)


if __name__ == "__main__":
	a				=argparse.ArgumentParser()
	parser.add_argument(
	    '--model_type',
	    choices=['rag_sequence', 'rag_token'],
	    required=True,
	    type=str,
	    help='RAG model type: rag_sequence, rag_token',
	)
	parser.add_argument('--dest', type=str, required=True, help='Path to the output checkpoint directory.')
	parser.add_argument('--generator_name_or_path', type=str, required=True, help='Generator model identifier')
	parser.add_argument(
	    '--question_encoder_name_or_path', type=str, required=True, help='Question encoder model identifier'
	)

	parser.add_argument(
	    '--generator_tokenizer_name_or_path',
	    type=str,
	    help='Generator tokenizer identifier, if not specified, resolves to ``generator_name_or_path``',
	)
	parser.add_argument(
	    '--question_encoder_tokenizer_name_or_path',
	    type=str,
	    help='Question encoder tokenizer identifier, if not specified, resolves to ``question_encoder_name_or_path``',
	)
	parser.add_argument(
	    '--config_name_or_path',
	    type=str,
	    help=(
	        'Identifier of the model config to use, if not provided, resolves to a base config for a given'
	        ' ``model_type``'
	    ),
	)

	a				=parser.parse_args()

	a				=Path(args.dest)
	dest_dir.mkdir(exist_ok=True)

	consolidate(
	    args.model_type,
	    args.generator_name_or_path,
	    args.question_encoder_name_or_path,
	    dest_dir,
	    args.config_name_or_path,
	    args.generator_tokenizer_name_or_path,
	    args.question_encoder_tokenizer_name_or_path,
	)



"""simple docstring"""


def      lowerCamelCase_					(   __lowerCAmelCase							)				->   "list[int]":




						'''simple docstring'''



						if upper_limit < 0:
												raise ValueError("Limit for the Catalan sequence must be ≥ 0"							)

						lowerCamelCase__   =[0] * (upper_limit + 1)

						# Base case: C(0) = C(1) = 1
						lowerCamelCase__   =1
						if upper_limit > 0:
												lowerCamelCase__   =1

						# Recurrence relation: C(i) = sum(C(j).C(i-j-1)), from j = 0 to i
						for i in range(2  ,       upper_limit + 1							):
												for j in range(__lowerCAmelCase							):
																		catalan_list[i] += catalan_list[j] * catalan_list[i - j - 1]

						return catalan_list


if __name__ == "__main__":
	print('\n********* Catalan Numbers Using Dynamic Programming ************\n')
	print('\n*** Enter -1 at any time to quit ***')
	print('\nEnter the upper limit (≥ 0) for the Catalan number sequence: ', end='')
	try:
		while True:
			a				=int(input().strip())
			if N < 0:
				print('\n********* Goodbye!! ************')
				break
			else:
				print(F'''The Catalan numbers from 0 through {N} are:''')
				print(catalan_numbers(N))
				print('Try another upper limit for the sequence: ', end='')
	except (NameError, ValueError):
		print('\n********* Invalid input, goodbye! ************\n')

	import doctest

	doctest.testmod()


